Accera GPU
Accera
Accera is a programming model, a domain-specific programming language embedded in Python (eDSL), and an optimizing cross-compiler for compute-intensive code. Accera currently supports CPU and GPU targets and focuses on optimization of nested for-loops.
Writing highly optimized compute-intensive code in a traditional programming language is a difficult and time-consuming process. It requires special engineering skills, such as fluency in Assembly language and a deep understanding of computer architecture. Manually optimizing the simplest numerical algorithms already requires a significant engineering effort. Moreover, highly optimized numerical code is prone to bugs, is often hard to read and maintain, and needs to be reimplemented every time a new target architecture is introduced. Accera aims to solve these problems.
Accera has three goals:
- Performance: generate the fastest implementation of any compute-intensive algorithm.
- Readability: do so without sacrificing code readability and maintainability.
- Writability: a user-friendly programming model, designed for agility.
accera-gpu
The accera-gpu package contains add-ons for GPU support. You can find documentation and examples on Github.
Release files for accera-gpu 1.2.29
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 176.1 MB
Release files / accera_gpu-1.2.29-cp310-cp310-win_amd64.whl
| Download URL | accera_gpu-1.2.29-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 7.3 MB |
| Tags | CPython 3.10 Windows x86-64 |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.11
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Release files / accera_gpu-1.2.29-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | accera_gpu-1.2.29-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 36.7 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-64 |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.4
|
Release files / accera_gpu-1.2.29-cp39-cp39-win_amd64.whl
| Download URL | accera_gpu-1.2.29-cp39-cp39-win_amd64.whl |
|---|---|
| Size | 7.3 MB |
| Tags | CPython 3.9 Windows x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.13
|
Release files / accera_gpu-1.2.29-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | accera_gpu-1.2.29-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 36.7 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.12
|
Release files / accera_gpu-1.2.29-cp38-cp38-win_amd64.whl
| Download URL | accera_gpu-1.2.29-cp38-cp38-win_amd64.whl |
|---|---|
| Size | 7.3 MB |
| Tags | CPython 3.8 Windows x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
|
Release files / accera_gpu-1.2.29-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | accera_gpu-1.2.29-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 36.7 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.13
|
Release files / accera_gpu-1.2.29-cp37-cp37m-win_amd64.whl
| Download URL | accera_gpu-1.2.29-cp37-cp37m-win_amd64.whl |
|---|---|
| Size | 7.3 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Windows x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.9
|
Release files / accera_gpu-1.2.29-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | accera_gpu-1.2.29-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 36.7 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.13
|
Security for accera-gpu 1.2.29
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